A flat field correction method and device, electronic equipment and storage medium

By calculating the grayscale values ​​of multiple background images from a fluorescence microscope to generate a target background template, the problem of uneven grayscale in fluorescence microscope imaging is solved, and a more efficient image noise reduction effect is achieved.

CN115984139BActive Publication Date: 2026-05-29GEOPTICS SEQUENCING EQUIP CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GEOPTICS SEQUENCING EQUIP CO LTD
Filing Date
2023-01-09
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In the prior art, the uneven grayscale of the background in the field of view is caused by the optical properties of the illumination unit and optical system during fluorescence microscopy imaging. Existing flat field correction algorithms have difficulty generating background templates in an absolutely blank state, resulting in poor image noise reduction.

Method used

By calculating the first, second, and third gray values ​​of multiple background images, a target background template image is generated. Based on this, the image of the object to be detected is corrected, avoiding dependence on an absolutely blank state and generating a more targeted noise reduction template.

Benefits of technology

It improves image noise reduction quality, mitigates grayscale inhomogeneity, and ensures image quality while preserving realism.

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Abstract

The present disclosure provides a flat field correction method and device, electronic equipment and storage medium, and relates to the field of image processing, which comprises: acquiring multiple background pictures of different positions of an object to be detected; calculating first, second and third gray values of the multiple background pictures; generating a target background template image of the object to be detected according to the gray values of the multiple background pictures, the first, second and third gray values of each pixel point; and correcting an object to be detected image according to the target background template image. The method of the present disclosure does not need to guarantee the absolute blank state which is difficult to achieve when obtaining the correction template in the past, and the background template image is generated one by one according to the background pictures of the object to be detected, so that the noise reduction template is more targeted, and the quality of image noise reduction is improved.
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